Location History:
- Folsom, CA (US) (2016)
- Granite Bay, CA (US) (2017)
Company Filing History:
Years Active: 2016-2017
Title: Bruce Kent McCormick: Innovator in Neural Network Classifiers
Introduction
Bruce Kent McCormick is a notable inventor based in Granite Bay, CA (US). He has made significant contributions to the field of neural networks, particularly in the development of advanced classifiers. With a total of 2 patents, McCormick's work focuses on enhancing the capabilities of neural network systems.
Latest Patents
McCormick's latest patents include innovations in hardware enhancements to radial basis function with restricted Coulomb energy learning and k-Nearest Neighbor based neural network classifiers. One of his patents describes a nonlinear neuron classifier that comprises a neuron array with multiple neuron chips. These chips process input vectors of variable length and depth, allowing for efficient comparison against stored vectors. Additionally, the patent outlines the use of an NSP flag to indicate which neurons participate in vector calculations, as well as a virtual content addressable memory flag for fast data readout from the chips.
Another patent focuses on a hardware-based neural network integrated circuit classifier that incorporates natively implemented Radial Basis functions and Restricted Coulomb Energy functions. This innovation aims to make the classifier more practical for handling a broader range of parallel algorithms.
Career Highlights
McCormick is currently associated with In2h2, where he continues to develop cutting-edge technologies in neural networks. His work has positioned him as a key figure in the advancement of intelligent systems.
Collaborations
Throughout his career, McCormick has collaborated with notable individuals such as William Harry Nagel and Christopher John McCormick. These collaborations have contributed to the success of his innovative projects.
Conclusion
Bruce Kent McCormick is a distinguished inventor whose work in neural network classifiers has paved the way for advancements in artificial intelligence. His patents reflect a commitment to enhancing the functionality and efficiency of neural networks, making significant strides in the field.